Papers Video Classification
“Video Classification” 태그가 달린 논문 495편 · 필터 해제
Approaches Toward Physical and General Video Anomaly Detection
In recent years, many works have addressed the problem of finding never-seen-before anomalies in videos. Yet, most work has been focused on detecting anomalous frames in surveillance videos taken from security cameras. M…
Anomaly DetectionDensity EstimationGeneral Action Video Anomaly DetectionPhysical Video Anomaly Detection+2MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
We propose MASTAF, a Model-Agnostic Spatio-Temporal Attention Fusion network for few-shot video classification. MASTAF takes input from a general video spatial and temporal representation,e.g., using 2D CNN, 3D CNN, and …
ClassificationVideo ClassificationMViTv2: Improved Multiscale Vision Transformers for Classification and Detection
In this paper, we study Multiscale Vision Transformers (MViTv2) as a unified architecture for image and video classification, as well as object detection. We present an improved version of MViT that incorporates decompos…
Action ClassificationAction RecognitionImage ClassificationInstance Segmentation+4PreViTS: Contrastive Pretraining with Video Tracking Supervision
Videos are a rich source for self-supervised learning (SSL) of visual representations due to the presence of natural temporal transformations of objects. However, current methods typically randomly sample video clips for…
Action ClassificationSelf-Supervised LearningVideo ClassificationAdaptive Token Sampling For Efficient Vision Transformers
While state-of-the-art vision transformer models achieve promising results in image classification, they are computationally expensive and require many GFLOPs. Although the GFLOPs of a vision transformer can be decreased…
Efficient ViTsimage-classificationImage ClassificationVideo ClassificationMorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning
Recently, MLP-Like networks have been revived for image recognition. However, whether it is possible to build a generic MLP-Like architecture on video domain has not been explored, due to complex spatial-temporal modelin…
Action RecognitionImage ClassificationRepresentation LearningSemantic Segmentation+1Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
Untrimmed videos on social media or those captured by robots and surveillance cameras are of varied aspect ratios. However, 3D CNNs usually require as input a square-shaped video, whose spatial dimension is smaller than …
Action LocalizationVideo ClassificationVideo-to-Video SynthesisTechnical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
Part-level Action Parsing aims at part state parsing for boosting action recognition in videos. Despite of dramatic progresses in the area of video classification research, a severe problem faced by the community is that…
Action ParsingAction RecognitionAction Recognition In VideosHuman Detection+1AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Pooling layers are essential building blocks of convolutional neural networks (CNNs), to reduce computational overhead and increase the receptive fields of proceeding convolutional operations. Their goal is to produce do…
Benchmarkingobject-detectionObject DetectionSuper-Resolution+2MetaVD: A Meta Video Dataset for enhancing human action recognition datasets
Numerous practical datasets have been developed to recognize human actions from videos. However, many of them were constructed by collecting videos within a limited domain; thus, a model trained using one of the existing…
Action ClassificationAction RecognitionRelationTemporal Action Localization+1A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
The existing few-shot video classification methods often employ a meta-learning paradigm by designing customized temporal alignment module for similarity calculation. While significant progress has been made, these metho…
ClassificationMeta-LearningRepresentation LearningVideo ClassificationAdversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
When compared to the image classification models, black-box adversarial attacks against video classification models have been largely understudied. This could be possible because, with video, the temporal dimension poses…
Classificationimage-classificationImage ClassificationVideo ClassificationAn Investigation on Hardware-Aware Vision Transformer Scaling
Vision Transformer (ViT) has demonstrated promising performance in various computer vision tasks, and recently attracted a lot of research attention. Many recent works have focused on proposing new architectures to impro…
GPUimage-classificationImage Classificationobject-detection+2Predicting Driver Self-Reported Stress by Analyzing the Road Scene
Several studies have shown the relevance of biosignals in driver stress recognition. In this work, we examine something important that has been less frequently explored: We develop methods to test if the visual driving s…
image-classificationImage ClassificationScene SegmentationVideo ClassificationOverview of Tencent Multi-modal Ads Video Understanding Challenge
Multi-modal Ads Video Understanding Challenge is the first grand challenge aiming to comprehensively understand ads videos. Our challenge includes two tasks: video structuring in the temporal dimension and multi-modal vi…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONVideo ClassificationVideo UnderstandingGoal-driven text descriptions for images
A big part of achieving Artificial General Intelligence(AGI) is to build a machine that can see and listen like humans. Much work has focused on designing models for image classification, video classification, object det…
AI AgentCaption GenerationDescriptiveimage-classification+8A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
The automatic detection of events in complex sports games like soccer and handball using positional or video data is of large interest in research and industry. One requirement is a fundamental understanding of underlyin…
BenchmarkingVideo ClassificationHand Hygiene Video Classification Based on Deep Learning
In this work, an extensive review of literature in the field of gesture recognition carried out along with the implementation of a simple classification system for hand hygiene stages based on deep learning solutions. A …
ClassificationDeep LearningGesture RecognitionVideo ClassificationHand Pose Classification Based on Neural Networks
In this work, deep learning models are applied to a segment of a robust hand-washing dataset that has been created with the help of 30 volunteers. This work demonstrates the classification of presence of one hand, two ha…
ClassificationTransfer LearningVideo ClassificationTwo-stream Convolutional Networks for Multi-frame Face Anti-spoofing
Face anti-spoofing is an important task to protect the security of face recognition. Most of previous work either struggle to capture discriminative and generalizable feature or rely on auxiliary information which is una…
Face Anti-SpoofingFace RecognitionVideo ClassificationVocal Bursts Valence Prediction